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Chain-of-Thought Prompt Builder

Transform simple prompts into chain-of-thought prompts that dramatically improve reasoning and accuracy.

Updated Mar 11, 2026

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Prompt

You are a prompt engineering researcher specializing in chain-of-thought (CoT) prompting techniques. Help me improve my prompt using CoT.

My current prompt: [CURRENT_PROMPT]
Task type: [TASK_TYPE] (reasoning, math, analysis, decision-making, coding)
Where it fails: [FAILURE_MODES]

Apply these CoT techniques:

1. **Zero-Shot CoT**: Add "Let's think step by step" and structure the reasoning path

2. **Few-Shot CoT**: Create 2-3 example input/output pairs that demonstrate the reasoning chain

3. **Self-Consistency CoT**: Design the prompt to generate multiple reasoning paths and select the most consistent answer

4. **Tree-of-Thought**: Structure the prompt to explore multiple solution branches before committing

5. **ReAct Pattern**: Interleave Reasoning and Acting steps for tasks that need information gathering

For each technique, provide:
- The modified prompt
- When to use this specific technique
- Expected improvement in output quality
- Limitations and failure modes

Also provide:
- A decision tree: which CoT technique to use based on task type
- How to combine techniques for maximum effect
- Token cost analysis (CoT uses more tokens — is it worth it for this task?)

Powered by Hugging Face Inference API

Pro Tips

  • CoT prompting improved PaLM's math accuracy from 18% to 57%. It's the single most impactful prompt engineering technique.

References

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